Predictions for the Big Data Market in 2016

Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze.
However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems.

Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and different other application transactions , Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.
  Below are the  2016 Predictions for the Big Data Market

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe.  Research estimates that Big Data investments will account for nearly $40 Billion in 2016 alone. 

1. IoT becomes very substantial
   The Internet of Things has already emerged as the next mega-trend but in 2016, it will excel beyond just hype. We will see companies actively change their strategy and infrastructure to harness the power and insight of IoT technologies and data.
2. Cloud analytic will become a game changer
   Right now, a few cloud-only Hadoop players exist, and other vendors offer rather distinct on-prem and cloud editions of their products. In 2016, as companies recognize the advantage of side-stepping Hadoop hardware requirements, which become outdated every 18 months, cloud adoption will surge. Vendors, particularly distributors, will pivot their offerings in order to keep up with demand.
3. Operational analytic on the upswing
   Customer analytic is traditionally considered the primary use case for big data analytic. But, as companies better understand their customer base, use cases will move from external to internal – making operational analytic the main use case.
4. Industry consolidation increases to a critical mass
   A number of acquisitions have taken place over the last two years as larger organizations try to fill holes in their offerings, shrinking the number of pure-play, standalone Big Data vendors. That will continue this year and likely reach critical mass.